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Customized CPET Analysis Workbook

Case study on Customized CPET Analysis Workbook.

Client profile: Clinical research sponsor analyzing cardiopulmonary exercise test (CPET) data collected across multiple investigator sites.

Customized CPET Analysis Workbook graphic

Executive takeaway

USDM replaced a manual, error-prone spreadsheet process with a customized, automated, and validated CPET analysis workbook, cutting QC verification time and effort by 75% and analysis time by 25%.

QC Verification

75% reduction

Decrease in QC verification time and effort after automating calculations and locking formulas

Analysis Time

25% reduction

Faster CPET clinical data analysis from raw import through endpoint calculation

Validated Workbook

Delivered

Customized, automated, and validated CPET workbook with locked formulas and macros

Before USDM

  • Manual manipulations, calculations, and data transcriptions to analyze CPET clinical data
  • QC verification frequently uncovered human error
  • Inconsistently formatted data from investigator sites and a workbook with anomalies requiring rework

After USDM

  • Automated import of raw CPET data, rolling-average conversion, and protocol-based endpoint calculation
  • QC verification time and effort reduced by 75% with locked formulas and macros
  • Analysis time reduced by 25% on a validated, secured workbook

Overview: A Validated Solution for CPET Clinical Data

The customer sought assistance to create and qualify a custom CPET Analysis Workbook (CPET Workbook). Discrete steps and activities were required to create and collectively demonstrate the CPET Workbook's capability to meet the defined business and regulatory requirements and provide a high degree of confidence in the design and deployment of the CPET Workbook.

The Challenge

The customer needed a validated solution to analyze their cardiopulmonary exercise test (CPET) clinical data, but their existing process was slow, manual, and prone to error.

  • The previous solution required manual manipulations, calculations, and data transcriptions.
  • QC verification of data often uncovered human error.
  • The customer received inconsistently formatted data from investigator sites.
  • The existing workbook had various anomalies and required modifications to analyze different data set types.

Manual transcription and unverified formulas are exactly the conditions that put data integrity at risk, so any replacement had to be both efficient and provably reliable.

The USDM Approach

USDM created a customized CPET analysis workbook designed to remove manual steps and standardize how data was processed. The workbook:

  • Used formulas and macros for importing raw CPET data
  • Converted data to rolling averages
  • Calculated endpoints according to study protocol

To make the tool trustworthy and defensible, USDM then:

  • Validated the custom CPET analysis workbook
  • Secured the workbook with locked formulas and macros
  • Automated the workbook's calculations

A Risk-Based, Validation-First Mindset

By locking formulas and macros and automating the calculations, USDM closed off the manual entry points where human error had been introduced. This risk-based approach aligns with modern computer software assurance (CSA) thinking and the recordkeeping expectations of 21 CFR Part 11, focusing validation effort on the steps that most affect data quality.

The Results

The validated workbook delivered measurable gains in both speed and reliability:

  • 75% decrease in QC verification time and effort
  • 25% decrease in analysis time
  • A customized, automated, and validated workbook delivered to the customer

By replacing fragile manual spreadsheets with a secured, automated, and validated tool, USDM gave the customer a faster path from raw CPET data to protocol endpoints, while reducing the human errors that QC had been catching. The result is a repeatable, audit-ready solution that protects clinical data integrity as part of an ongoing continuous compliance posture.

Validated, Compliant Data Tools

Turn manual clinical spreadsheets into validated, audit-ready solutions

USDM designs, automates, and validates the data tools your studies depend on, so QC catches fewer human errors and your team analyzes results faster. Let's talk about validating your CPET or clinical data workbook.

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